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Correction of the effect of spatial gradient field distortions in diffusion-weighted imaging

机译:校正扩散加权成像中空间梯度场畸变的影响

摘要

A general mathematical framework is formulated to characterize the contribution of gradient non-uniformities to diffusion tensor imaging in MRI. Based on a model expansion, the actual gradient field is approximated and employed, after elimination of geometric distortions, for predicting and correcting the errors in diffusion encoding. Prior to corrections, experiments clearly reveal marked deviations of the calculated diffusivity for fields of view generally used in diffusion experiments. These deviations are most significant with greater distance from the magnet's isocenter. For a FOV of 25 cm the resultant errors in absolute diffusivity can range from approximately −10 to +20 percent. Within the same field of view, the diffusion-encoding direction and the orientation of the calculated eigenvectors can be significantly altered if the perturbations by the gradient non-uniformities are not considered. With the proposed correction scheme most of the errors introduced by gradient non-uniformities can be removed.
机译:建立了一个通用的数学框架,以表征梯度非均匀性对MRI扩散张量成像的贡献。在模型扩展的基础上,消除几何失真之后,近似并使用实际梯度场,以预测和校正扩散编码中的错误。在进行校正之前,实验清楚地揭示了扩散实验中通常使用的视场的计算扩散率的明显偏差。距磁体等中心点的距离越大,这些偏差越显着。对于25 cm的FOV,绝对扩散系数的最终误差范围约为-10%至+ 20%。如果不考虑梯度非均匀性引起的扰动,则在同一视场内,可以大大改变计算的特征向量的扩散编码方向和方向。利用所提出的校正方案,可以消除由梯度不均匀性引起的大多数误差。

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